Document Type
Article
Publication Date
6-2021
Keywords
fog computing; IOT medical devices; data integrity; malicious transactions; damage assessment; smart healthcare systems
Abstract
The volume of data generated worldwide is rapidly growing. Cloud computing, fog computing, and the Internet of things (IoT) technologies have been adapted to compute and process this high data volume. In coming years information technology will enable extensive developments in the field of healthcare and offer health care providers and patients broadened opportunities to enhance their healthcare experiences and services owing to heightened availability and enriched services through real-time data exchange. As promising as these technological innovations are, security issues such as data integrity and data consistency remain widely unaddressed. Therefore, it is important to engineer a solution to these issues. Developing a damage assessment and recovery control model for fog computing is critical. This paper proposes two models for using fog computing in healthcare: one for private fog computing distribution and one for public fog computing distribution. For each model, we propose a unique scheme to assess the damage caused by malicious attack, to accurately identify affected transactions and recover damaged data if needed. A transaction-dependency graph technique is used for both models to observe and monitor all transactions in the whole system. We conducted a simulation study to assess the applicability and efficacy of the proposed models. The evaluation rendered these models practicable and effective.
Citation
Alazeb, A. F., Panda, B., Almakdi, S. A., & Alshehri, M. S. (2021). Data Integrity Preservation Schemes in Smart Healthcare Systems That Use Fog Computing Distribution. Electronics, 10 (11), 1314. https://doi.org/10.3390/electronics10111314
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
